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The Digitalizing Family and the Electricity Bill: Appliance Intensity, Air Conditioning, and Proportional Energy Burden

Yıl 2025, Cilt: 26 Sayı: Özel Sayı, 2429 - 2455, 30.12.2025

Öz

This study examines the share of electricity expenditure in household income in Türkiye. Using 2022 Household Budget Survey microdata, variable selection was performed via Adaptive LASSO, and a fractional logit model was estimated, with results reported as average marginal effects. Findings show that the share decreases significantly as income rises (regressive burden). Household size and dwelling area increase the share, while tenants face higher burdens. Air conditioner (AC) ownership creates the largest increase, and the number of panel TVs, internet subscriptions, computers, and mobile phones also raise the burden. The results highlight the vulnerability of the “low-income–large–big/tenant dwelling” profile. Policy suggestions include efficient AC subsidies, time-of-use tariff promotion, and minimum energy performance standards in rental housing. Energy poverty is represented by proportional electricity burden.

Etik Beyan

There is no circumstance in this study that requires ethics committee approval.

Destekleyen Kurum

No supporting institution is involved.

Kaynakça

  • Ahrens, A., Hansen, C. B. & Schaffer, M. E. (2020). lassopack: Model selection and prediction with regularized regression in Stata. The Stata Journal, 20(1), 176–235.
  • Ali, S. S. S., Razman, M. R., Awang, A., Asyraf, M. R. M., Ishak, M. R., Ilyas, R. A. & Lawrence, R. J. (2021). Critical determinants of household electricity consumption in a rapidly growing city. Sustainability, 13(8), 4441.
  • Ari, E., Aydin, N., Karacan, S. & Saracli, S. (2016). Analysis of households’ electricity consumption with ordered logit models: Example of Turkey. International Journal of Humanities and Social Science Invention, 5(6), 73–84.
  • Besagni, G. & Borgarello, M. (2018). The determinants of residential energy expenditure in Italy. Energy, 165, 369–386.
  • Bird, S. & Hernández, D. (2012). Policy options for the split incentive: Increasing energy efficiency for low-income renters. Energy Policy, 48, 506–514.
  • Bouzarovski, S. (2018). Energy poverty: (Dis)assembling Europe’s infrastructural divide. Springer Nature.
  • Brounen, D., Kok, N. & Quigley, J. M. (2012). Residential energy use and conservation: Economics and demographics. European Economic Review, 56(5), 931–945.
  • Brucal, A. & McCoy, D. (2020). Energy prices, energy policies and energy poverty: Exploring the connection. European Commission, Social Situation Monitor.
  • Çalmaşur, G. & İnan, K. (2018). Hanehalkı elektrik talebini etkileyen faktörler: Türkiye üzerine bir uygulama. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (52), 71–92.
  • Çora, E. (2023). Understanding of energy poverty characteristics in Türkiye: A baseline study for identification of energy poor household profiles (Yüksek lisans tezi, Orta Doğu Teknik Üniversitesi).
  • Davis, L. W. (2011). Evaluating the slow adoption of energy efficient investments: Are renters less likely to have energy efficient appliances? In The design and implementation of US climate policy (ss. 301–316). University of Chicago Press.
  • Demirtaş, H. B. (2024). Split incentives: A preliminary investigation into case of Türkiye (Yüksek lisans tezi). Sabancı Üniversitesi.
  • Dogan, E., Madaleno, M. & Taskin, D. (2021). Which households are more energy vulnerable? Energy poverty and financial inclusion in Turkey. Energy Economics, 99, 105306.
  • Duzgun, B., Koksal, M. A. & Bayindir, R. (2022). Assessing drivers of residential energy consumption in Turkey: 2000–2018. Energy for Sustainable Development, 70, 371–386.
  • Fahmy, M., Mahdy, M. M. & Nikolopoulou, M. (2014). Prediction of future energy consumption reduction using GRC envelope optimization for residential buildings in Egypt. Energy and Buildings, 70, 186–193.
  • Gillingham, K., Newell, R. & Palmer, K. (2006). Energy efficiency policies: A retrospective examination. Annual Review of Environment and Resources, 31(1), 161–192.
  • Gillingham, K., Harding, M. & Rapson, D. (2012). Split incentives in residential energy consumption. The Energy Journal, 33(2), 37–62.
  • Güloğlu, B. & Akın, E. (2014). Türkiye’de hane halkları elektrik talebinin belirleyicileri: Sıralı logit yaklaşımı. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, 2(3), 1–20.
  • Halicioglu, F. (2007). Residential electricity demand dynamics in Turkey. Energy Economics, 29(2), 199–210.
  • Hollander, E. & Roser, A. (2015). Energy efficient appliances for low-income households. EUR Scientific and Technical Research Series, 27693.
  • Guven, D. & Kayalica, M. O. (2023). Analysing the determinants of the Turkish household electricity consumption using gradient boosting regression tree. Energy for Sustainable Development, 77, 101312.
  • Karaaslan, A., Karaaslan, K. Ç. & Kardeş, S. (2025). Disentangling the determinants of household energy expenditure: A quantile regression approach with machine learning. Energy and Buildings, 116577.
  • Kayalica, M. O., Ozozen, A., Guven, D., Kayakutlu, G. & Bayar, A. A. (2020). Electricity consumption analysis based on Turkish household budget surveys. Energy, Ecology and Environment, 5(6), 444–455.
  • Kavousian, A., Rajagopal, R. & Fischer, M. (2013). Determinants of residential electricity consumption. Energy, 55, 184–194.
  • Korkmaz, E. & Kurkcuoglu, M. A. S. (2025). Analysis of the socio-spatial vulnerabilities to energy poverty factors of Türkiye. Energy and Buildings, 115343.
  • Kowsari, R. & Zerriffi, H. (2011). Three dimensional energy profile: A conceptual framework for assessing household energy use. Energy Policy, 39(12), 7505–7517.
  • Laica, I., Blumberga, A., Roša, M. & Blumberga, D. (2014). Determinants of household electricity consumption savings: A Latvian case study.
  • Legendre, B. & Ricci, O. (2015). Measuring fuel poverty in France. Energy Economics, 49, 620–628.
  • Manasi, B. & Mukhopadhyay, J. P. (2024). Definition, measurement and determinants of energy poverty. Energy for Sustainable Development, 79, 101383.
  • Mastrucci, A., Byers, E., Pachauri, S. & Rao, N. D. (2019). Improving the SDG energy poverty targets. Energy and Buildings, 186, 405–415.
  • McLoughlin, F., Duffy, A. & Conlon, M. (2012). Characterising domestic electricity consumption patterns. Energy and Buildings, 48, 240–248.
  • Moore, R. (2012). Definitions of fuel poverty: Implications for policy. Energy Policy, 49, 19–26.
  • Pachauri, S. & Jiang, L. (2008). The household energy transition in India and China. Energy Policy, 36(11), 4022–4035.
  • Papke, L. E. & Wooldridge, J. M. (1996). Econometric methods for fractional response variables. Journal of Applied Econometrics, 11(6), 619–632.
  • Sadath, A. C. & Acharya, R. H. (2017). Assessing energy poverty using Multidimensional Energy Poverty Index. Energy Policy, 102, 540–550.
  • Selçuk, İ. Ş. (2018). Türkiye hanehalkı elektrik tüketim yapısı. Fiscaoeconomia, 2(2), 125–140.
  • Simshauser, P. (2021). Vulnerable households and fuel poverty. University of Cambridge.
  • Şahin, M. C. & Köksal, M. A. (2014). Standby electricity consumption and saving potentials of Turkish households. Applied Energy, 114, 531–538.
  • Sigeze, Ç. (2021). Türkiye’de hanehalkı elektrik talebinin iki aşamalı model ile incelenmesi. Ankara Hacı Bayram Veli Üniversitesi İİBF Dergisi, 23(2), 531–552.
  • Thomson, H., Bouzarovski, S. & Snell, C. (2017). Rethinking the measurement of energy poverty in Europe. Indoor and Built Environment, 26(7), 879–901.
  • Tiba, S. & Belaid, F. (2020). Pollution concern in the era of globalization. Energy Economics, 92, 104966.
  • Üstündağlı Erten, E., Janghorban Esfahani, I., Ifaei, P. & Güzeloğlu, E. B. (2023). Clustering Turkey’s household energy choices. Energies, 16(24), 7983.
  • Verma, A. P. & Imelda. (2023). Clean energy access: Gender disparity, health and labour supply. The Economic Journal, 133(650), 845–871.
  • Yarbaşı, İ. Y. & Çelik, A. K. (2023). Determinants of household electricity demand in Turkey. Energy, 283, 128431.
  • Yukseltan, E., Kok, A., Yucekaya, A., Bilge, A., Aktunc, E. A. & Hekimoglu, M. (2022). COVID-19 and electricity consumption in Turkey. Utilities Policy, 76, 101359.
  • Zou, H. (2006). The adaptive lasso and its oracle properties. Journal of the American Statistical Association, 101(476), 1418–1429.

Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü

Yıl 2025, Cilt: 26 Sayı: Özel Sayı, 2429 - 2455, 30.12.2025

Öz

Bu çalışma, Türkiye’de ailelerin elektrik harcamasının gelir içindeki payını incelemektedir. 2022 Hanehalkı Bütçe Anketi mikro verisi kullanılarak Adaptif LASSO ile değişken seçimi yapılmış, fractional logit modeli tahmin edilerek sonuçlar ortalama marjinal etkilerle raporlanmıştır. Bulgular, gelir arttıkça oranın anlamlı biçimde azaldığını (regresif yük) göstermektedir. Hanehalkı büyüklüğü ve konut alanı oranı artırırken, kiracılarda oran daha yüksektir. Klima sahipliği en büyük artışı yaratmakta; panel TV, internet, bilgisayar ve cep telefonu sayısı da yükü artırmaktadır. Sonuçlar, “düşük gelir–kalabalık–büyük/kiralık konut” profilinin kırılganlığını ortaya koymaktadır. Politika önerileri arasında verimli klima teşvikleri, çok zamanlı tarife yönlendirmeleri ve kiralık konutlarda asgari enerji performansı yer almaktadır. Enerji yoksulluğu, oransal elektrik yükü ile temsil edilmiştir.

Etik Beyan

Bu çalışmada etik kurul izni gerektirecek bir durum bulunmamaktadır.

Destekleyen Kurum

Destekleyen bir kurum bulunmamaktadir

Kaynakça

  • Ahrens, A., Hansen, C. B. & Schaffer, M. E. (2020). lassopack: Model selection and prediction with regularized regression in Stata. The Stata Journal, 20(1), 176–235.
  • Ali, S. S. S., Razman, M. R., Awang, A., Asyraf, M. R. M., Ishak, M. R., Ilyas, R. A. & Lawrence, R. J. (2021). Critical determinants of household electricity consumption in a rapidly growing city. Sustainability, 13(8), 4441.
  • Ari, E., Aydin, N., Karacan, S. & Saracli, S. (2016). Analysis of households’ electricity consumption with ordered logit models: Example of Turkey. International Journal of Humanities and Social Science Invention, 5(6), 73–84.
  • Besagni, G. & Borgarello, M. (2018). The determinants of residential energy expenditure in Italy. Energy, 165, 369–386.
  • Bird, S. & Hernández, D. (2012). Policy options for the split incentive: Increasing energy efficiency for low-income renters. Energy Policy, 48, 506–514.
  • Bouzarovski, S. (2018). Energy poverty: (Dis)assembling Europe’s infrastructural divide. Springer Nature.
  • Brounen, D., Kok, N. & Quigley, J. M. (2012). Residential energy use and conservation: Economics and demographics. European Economic Review, 56(5), 931–945.
  • Brucal, A. & McCoy, D. (2020). Energy prices, energy policies and energy poverty: Exploring the connection. European Commission, Social Situation Monitor.
  • Çalmaşur, G. & İnan, K. (2018). Hanehalkı elektrik talebini etkileyen faktörler: Türkiye üzerine bir uygulama. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (52), 71–92.
  • Çora, E. (2023). Understanding of energy poverty characteristics in Türkiye: A baseline study for identification of energy poor household profiles (Yüksek lisans tezi, Orta Doğu Teknik Üniversitesi).
  • Davis, L. W. (2011). Evaluating the slow adoption of energy efficient investments: Are renters less likely to have energy efficient appliances? In The design and implementation of US climate policy (ss. 301–316). University of Chicago Press.
  • Demirtaş, H. B. (2024). Split incentives: A preliminary investigation into case of Türkiye (Yüksek lisans tezi). Sabancı Üniversitesi.
  • Dogan, E., Madaleno, M. & Taskin, D. (2021). Which households are more energy vulnerable? Energy poverty and financial inclusion in Turkey. Energy Economics, 99, 105306.
  • Duzgun, B., Koksal, M. A. & Bayindir, R. (2022). Assessing drivers of residential energy consumption in Turkey: 2000–2018. Energy for Sustainable Development, 70, 371–386.
  • Fahmy, M., Mahdy, M. M. & Nikolopoulou, M. (2014). Prediction of future energy consumption reduction using GRC envelope optimization for residential buildings in Egypt. Energy and Buildings, 70, 186–193.
  • Gillingham, K., Newell, R. & Palmer, K. (2006). Energy efficiency policies: A retrospective examination. Annual Review of Environment and Resources, 31(1), 161–192.
  • Gillingham, K., Harding, M. & Rapson, D. (2012). Split incentives in residential energy consumption. The Energy Journal, 33(2), 37–62.
  • Güloğlu, B. & Akın, E. (2014). Türkiye’de hane halkları elektrik talebinin belirleyicileri: Sıralı logit yaklaşımı. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, 2(3), 1–20.
  • Halicioglu, F. (2007). Residential electricity demand dynamics in Turkey. Energy Economics, 29(2), 199–210.
  • Hollander, E. & Roser, A. (2015). Energy efficient appliances for low-income households. EUR Scientific and Technical Research Series, 27693.
  • Guven, D. & Kayalica, M. O. (2023). Analysing the determinants of the Turkish household electricity consumption using gradient boosting regression tree. Energy for Sustainable Development, 77, 101312.
  • Karaaslan, A., Karaaslan, K. Ç. & Kardeş, S. (2025). Disentangling the determinants of household energy expenditure: A quantile regression approach with machine learning. Energy and Buildings, 116577.
  • Kayalica, M. O., Ozozen, A., Guven, D., Kayakutlu, G. & Bayar, A. A. (2020). Electricity consumption analysis based on Turkish household budget surveys. Energy, Ecology and Environment, 5(6), 444–455.
  • Kavousian, A., Rajagopal, R. & Fischer, M. (2013). Determinants of residential electricity consumption. Energy, 55, 184–194.
  • Korkmaz, E. & Kurkcuoglu, M. A. S. (2025). Analysis of the socio-spatial vulnerabilities to energy poverty factors of Türkiye. Energy and Buildings, 115343.
  • Kowsari, R. & Zerriffi, H. (2011). Three dimensional energy profile: A conceptual framework for assessing household energy use. Energy Policy, 39(12), 7505–7517.
  • Laica, I., Blumberga, A., Roša, M. & Blumberga, D. (2014). Determinants of household electricity consumption savings: A Latvian case study.
  • Legendre, B. & Ricci, O. (2015). Measuring fuel poverty in France. Energy Economics, 49, 620–628.
  • Manasi, B. & Mukhopadhyay, J. P. (2024). Definition, measurement and determinants of energy poverty. Energy for Sustainable Development, 79, 101383.
  • Mastrucci, A., Byers, E., Pachauri, S. & Rao, N. D. (2019). Improving the SDG energy poverty targets. Energy and Buildings, 186, 405–415.
  • McLoughlin, F., Duffy, A. & Conlon, M. (2012). Characterising domestic electricity consumption patterns. Energy and Buildings, 48, 240–248.
  • Moore, R. (2012). Definitions of fuel poverty: Implications for policy. Energy Policy, 49, 19–26.
  • Pachauri, S. & Jiang, L. (2008). The household energy transition in India and China. Energy Policy, 36(11), 4022–4035.
  • Papke, L. E. & Wooldridge, J. M. (1996). Econometric methods for fractional response variables. Journal of Applied Econometrics, 11(6), 619–632.
  • Sadath, A. C. & Acharya, R. H. (2017). Assessing energy poverty using Multidimensional Energy Poverty Index. Energy Policy, 102, 540–550.
  • Selçuk, İ. Ş. (2018). Türkiye hanehalkı elektrik tüketim yapısı. Fiscaoeconomia, 2(2), 125–140.
  • Simshauser, P. (2021). Vulnerable households and fuel poverty. University of Cambridge.
  • Şahin, M. C. & Köksal, M. A. (2014). Standby electricity consumption and saving potentials of Turkish households. Applied Energy, 114, 531–538.
  • Sigeze, Ç. (2021). Türkiye’de hanehalkı elektrik talebinin iki aşamalı model ile incelenmesi. Ankara Hacı Bayram Veli Üniversitesi İİBF Dergisi, 23(2), 531–552.
  • Thomson, H., Bouzarovski, S. & Snell, C. (2017). Rethinking the measurement of energy poverty in Europe. Indoor and Built Environment, 26(7), 879–901.
  • Tiba, S. & Belaid, F. (2020). Pollution concern in the era of globalization. Energy Economics, 92, 104966.
  • Üstündağlı Erten, E., Janghorban Esfahani, I., Ifaei, P. & Güzeloğlu, E. B. (2023). Clustering Turkey’s household energy choices. Energies, 16(24), 7983.
  • Verma, A. P. & Imelda. (2023). Clean energy access: Gender disparity, health and labour supply. The Economic Journal, 133(650), 845–871.
  • Yarbaşı, İ. Y. & Çelik, A. K. (2023). Determinants of household electricity demand in Turkey. Energy, 283, 128431.
  • Yukseltan, E., Kok, A., Yucekaya, A., Bilge, A., Aktunc, E. A. & Hekimoglu, M. (2022). COVID-19 and electricity consumption in Turkey. Utilities Policy, 76, 101359.
  • Zou, H. (2006). The adaptive lasso and its oracle properties. Journal of the American Statistical Association, 101(476), 1418–1429.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Uygulamalı Mikro Ekonometri, Mikro İktisat (Diğer), Aile ve Hanehalkı Çalışmaları
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Çağrı Gözen 0000-0001-6493-9592

Gönderilme Tarihi 13 Ağustos 2025
Kabul Tarihi 15 Aralık 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 26 Sayı: Özel Sayı

Kaynak Göster

APA Gözen, M. Ç. (2025). Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 26(Özel Sayı), 2429-2455.
AMA Gözen MÇ. Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi. Aralık 2025;26(Özel Sayı):2429-2455.
Chicago Gözen, Mehmet Çağrı. “Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü”. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi 26, sy. Özel Sayı (Aralık 2025): 2429-55.
EndNote Gözen MÇ (01 Aralık 2025) Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi 26 Özel Sayı 2429–2455.
IEEE M. Ç. Gözen, “Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü”, Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, c. 26, sy. Özel Sayı, ss. 2429–2455, 2025.
ISNAD Gözen, Mehmet Çağrı. “Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü”. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi 26/Özel Sayı (Aralık2025), 2429-2455.
JAMA Gözen MÇ. Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi. 2025;26:2429–2455.
MLA Gözen, Mehmet Çağrı. “Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü”. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, c. 26, sy. Özel Sayı, 2025, ss. 2429-55.
Vancouver Gözen MÇ. Dijitalleşen Aile ve Elektrik Faturası: Cihaz Yoğunluğu, Klima ve Oransal Enerji Yükü. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi. 2025;26(Özel Sayı):2429-55.